UID:
almafu_9959328827202883
Umfang:
1 online resource (xvii, 284 pages) :
,
illustrations (some color), maps (some color)
Ausgabe:
Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010.
ISBN:
9780470612262
,
0470612266
,
9781847046208
,
1847046207
,
0470394919
,
9780470394915
,
9781118614990
,
1118614992
Serie:
Geographical information systems series
Inhalt:
This book is made up of a selection of papers presented during the COST European program "The use of GIS in climatology and meteorology" in which members of 20 countries participated. It focuses on applications of geographic software and data to interpolate climate and meteorology parameters and is divided into four parts: 1. GIS for climatology and meteorology, 2. Spatial interpolation of climate parameters, 3. Some demo projects of national meteorology institutes, 4. Meteorology and climatology for some environmental problems. Each of these is introduced by one or two overviews and is.
Anmerkung:
Cover -- Table of Contents -- Preface -- Part 1. GIS to Manage and Distribute Climate Data -- Chapter 1. GIS, Climatology and Meteorology -- 1.1. GIS technology and spatial data (working group 1) -- 1.2. Data and metadata -- 1.3. Interoperability -- 1.4. Conclusions -- 1.5. Bibliography -- Chapter 2. SIGMA: A Web-based GIS for Environmental Applications -- 2.1. Introduction -- 2.2. CPTEC-INPE -- 2.3. SIGMA -- 2.4. Impacts of weather conditions on the economy -- 2.5. Severe Weather Observation System (SOS) -- 2.6. SOS interface -- 2.7. Conclusions -- 2.8. Acknowledgements -- 2.9. Bibliography -- Chapter 3. Web Mapping: Different Solutions using GIS -- 3.1. Introduction -- 3.2. Examples of Web mapping based on the usage of GIS technology -- 3.3. Examples of Web mapping using GIS tools in online mode -- 3.4. Conclusion -- 3.5. Bibliography -- Chapter 4. Comparison of Geostatistical and Meteorological -- 4.1. Introduction -- 4.2. Mathematical statistical model of spatial interpolation -- 4.3. Geostatistical interpolation methods -- 4.4. Meteorological interpolation -- 4.5. Software and connection of topics -- 4.6. Example of the MISH application -- 4.7. Bibliography -- Chapter 5. Uncertainty from Spatial Sampling: A Case Study -- 5.1. Introduction -- 5.2. The sample as a whole -- 5.3. Looking in detail where the sample is not representative. -- 5.4. Summarizing the sampling uncertainty -- 5.5. Conclusion -- 5.6. Bibliography -- Part 2. Spatial Interpolation of Climate Data -- Chapter 6. The Developments in Spatialization of Meteorological and -- 6.1. Introduction -- 6.2. Spatialization -- 6.3. Why spatialization? -- 6.4. The role of GIS in developing spatialization within climatology -- 6.5. Methodology -- 6.6. Data representativity, quality and reliability -- 6.7. Applications -- 6.8. Climate indices -- 6.9. Gridded datasets -- 6.10. Recommendations and future outlook -- 6.11. Bibliography -- Chapter 7. The Spatial Analysis of the Selected Meteorological Fields -- 7.1. Introduction -- 7.2. Spatialization problems using standard observation data -- 7.3. Spatialization using remote sensing data -- 7.4. Conclusions -- 7.5. Acknowledgements -- 7.6. Bibliography -- Chapter 8. Optimizing the Interpolation of Temperatures by GIS: -- 8.1. Limits of the interpolation in a heterogenous space -- 8.2. Optimizing the spatial distribution of the stations -- 8.3. Underlying space assumptions -- 8.4. Theoretical structure of our model -- 8.5. The process of linear modeling for the selected factors -- 8.6. Determination of the optimal positioning of P -- 8.7. An example of implementation -- 8.8. Consequences and spatial/structural understanding -- 8.9. Determination of authorized spaces -- 8.10. Taking uncertainty into account: a choice/given couple -- 8.11. The standardization process -- 8.12. Results for the addition of stations -- 8.13 &
,
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
Weitere Ausg.:
Print version: Spatial interpolation for climate data. London ; Newport Beach, CA : ISTE, 2007 ISBN 9781905209705
Weitere Ausg.:
ISBN 1905209703
Sprache:
Englisch
Schlagwort(e):
Electronic books.
;
Electronic books.
;
Electronic books.
DOI:
10.1002/9780470612262
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470612262
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470612262
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470612262
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